Evidence map›Paper›PMID 33728331›Full record

ArticleBioMed research international2021

LC-MS/MS-Based Quantitative Proteomics Analysis of Different Stages of Non-Small-Cell Lung Cancer.

Murong Zhou, Yi Kong, Xiaobin Wang, Wen Li, Si Chen, Li Wang, Chengbin Wang, Qian Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Neutrophils in cancer carcinogenesis and metastasis.Journal of hematology & oncology · 2021
    Review
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Murong ZhouCollege of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0001-9634-8164
Yi KongMedical School of Chinese PLA & Medical Laboratory Center, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Xiaobin WangShenzhen University Health Science Center, Shenzhen, China.
Wen LiShenzhen University Health Science Center, Shenzhen, China.
Si ChenShenzhen University Health Science Center, Shenzhen, China.
Li WangDepartment of Dermatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0002-4770-6292
Chengbin WangMedical School of Chinese PLA & Medical Laboratory Center, First Medical Center of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6535-5967
Qian ZhangDepartment of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0003-4516-3455
Shenzhen University Health Science Center · CNChinese PLA General Hospital · CNShenzhen University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer has a higher incidence rate and mortality rate than all other cancers. Early diagnosis and treatment of lung cancer remain a major challenge, and the 5-year survival rate of its patients is only 15%. Basic and clinical research, especially the discovery of biomarkers, is crucial for improving the diagnosis and treatment of lung cancer patients. To identify novel biomarkers for lung cancer, we used the iTRAQ8-plex labeling technology combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to analyze the serum and urine of patients with different stages of lung adenocarcinoma and healthy individuals. A total of 441 proteins were identified in the serum, and 1,161 proteins were identified in the urine. The levels of elongation factor 1-alpha 2, proteasome subunit alpha type, and spermatogenesis-associated protein increased significantly in the serum of patients with lung cancer compared with those in healthy controls. The levels of transmembrane protein 143, cadherin 5, fibronectin 1, and collectin-11 decreased significantly in the serum of patients with metastases compared with those of nonmetastatic lung cancer patients. In the urine of stage III and IV lung cancer patients, the prostate-specific antigen and prostatic acid phosphatase decreased significantly, whereas neutrophil defensin 1 increased significantly. The results of LC-MS/MS were confirmed by enzyme-linked immunosorbent assay (ELISA) for transmembrane protein 143, cadherin 5, fibronectin 1, and collectin-11 in the serum. These proteins may be a potential early diagnosis and metastasis biomarkers for lung adenocarcinoma. Furthermore, the relative content of these markers in the serum and urine could be used to determine the progression of lung adenocarcinoma and achieve accurate staging and diagnosis.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsProteomicsAgedChromatography, LiquidDisease-Free SurvivalFemaleHumansMaleMiddle AgedSurvival RateTandem Mass SpectrometryBiomarkers, Tumor

Identifiers

PMID33728331
PMCPMC7937045
OpenAlexW3134360824

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.